TCAD EDA Engineer with AI-Driven Modeling

Onsemi

Scottsdale (AZ)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

onsemi is seeking a self-driven professional to join the Engineering EDA TCAD team, focusing on TCAD modeling and tools support for design and product engineering. The role emphasizes evolving AI-assisted workflows and collaboration with device design, product and applications teams.

The candidate will work across silicon and wide bandgap technologies, contributing to tool enhancements, AI agent development, and patent filings as part of a dynamic EDA environment.

Qualifications

  • Masters or PhD in EE, micro-electronic design, or device engineering.
  • Course work or experience in data analytics and machine learning.
  • At least 5 years of professional experience in TCAD device development or EDA applications.
  • Working knowledge of Synopsys or Silvaco TCAD tools.

Responsibilities

  • Resolve TCAD support tickets by assisting device design, product and applications communities with model setup, convergence, calibration, etc.
  • Periodic review of EDA vendor product roadmaps to keep abreast of developments, releases, upgrades and to influence timing to support onsemi’s requirements.
  • Projects to support enhancements of EDA tools, including AI agents, regression and optimization, intelligent workflow automation.
  • Expanding skillset through online and on the job training to learn and apply new tools.

Skills

TCAD experience
Data analytics
Machine learning
Synopsys tools
Silvaco tools
Device physics

Education

Masters or PhD in EE

Tools

Synopsys TCAD
Silvaco TCAD
Mechanical
Maxwell
Icepak

Job description

onsemi is seeking a self-driven professional to join the Engineering EDA TCAD team, focusing on TCAD modeling and tools support for design and product engineering. The role emphasizes evolving AI-assisted workflows and collaboration with device design, product and applications teams.

The candidate will work across silicon and wide bandgap technologies, contributing to tool enhancements, AI agent development, and patent filings as part of a dynamic EDA environment.

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